| Self-paced multi-task clustering Y Ren, X Que, D Yao, Z Xu Neurocomputing 350, 212-220, 2019 | 25 | 2019 |
| Regularized multi-source matrix factorization for diagnosis of alzheimer’s disease X Que, Y Ren, J Zhou, Z Xu Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 14 | 2017 |
| Uncertainty-aware multiple instance learning from large-scale long time series data Y Zhu, W Shi, DS Pandey, Y Liu, X Que, DE Krutz, Q Yu 2021 IEEE International Conference on Big Data (Big Data), 1772-1778, 2021 | 6 | 2021 |
| Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks X Que, Q Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14740 …, 2024 | 5 | 2024 |
| Accessible Learning Labs: Accessibility education through experiential learning Y Liu, X Que, D Wang, SA Malachowsky, DE Krutz 2024 36th International Conference on Software Engineering Education and …, 2024 | 1 | 2024 |
| Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data X Que, Q Yu European Conference on Computer Vision, 294-311, 2024 | | 2024 |
| Presenting Experiential Educational Machine Learning Labs Y Liu, X Que, D Wang, SA Malachowsky, DE Krutz 2024 36th International Conference on Software Engineering Education and …, 2024 | | 2024 |
| Domain-Invariant Auxiliary Learning for Robust Few-Shot Predictions from Noisy Data X Que, Q Yu | | |
